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Method for reconstructing motion-compensated magnetic resonance images from non-Cartesian k-space data
Method for reconstructing motion-compensated magnetic resonance images from non-Cartesian k-space data
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机译:从非笛卡尔k空间数据重建运动补偿磁共振图像的方法
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摘要
A method for reconstructing a motion-compensated image depicting a subject with a magnetic resonance imaging (MRI) system is provided. An MRI system is used to acquire a time series of k-space data from the subject by sampling k-space along non-Cartesian trajectories, such as radial, spiral, or other trajectories at a plurality of time frames. Those time frames at which motion occurred are identified and this information used to segment the time series into a plurality of k-space data subsets. For example, the k-space data subsets contain k-space data acquired at temporally adjacent time frames that occur between those identified time frames at which motion occurred. Motion correction parameters are determined from the k-space data subsets. Using the determined motion correction parameters, the k-space data subsets are corrected for motion. The corrected data subsets are combined to form a corrected k-space data set, from which a motion-compensated image is reconstructed.
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